Debbie K. Song

502 citations
16 papers · 345 indexed · h-index 11
Topics
Virus-based gene therapy research (3 papers)Botulinum Toxin and Related Neurological Disorders (2 papers)Cancer, Hypoxia, and Metabolism (2 papers)
Journals
SHILAP Revista de lepidopterologíaSpineJournal of neurosurgery

In The Last Decade

Debbie K. Song

16 papers receiving 337 citations

Peers

Debbie K. Song
Comparison fields: 5 of 57
  • Molecular Biology 116
  • Neurology 103
  • Genetics 96
  • Cellular and Molecular Neuroscience 71
  • Genetics 61
Replace T. Schweitzer with:
T. Schweitzer Germany
Toshiaki Kodera Japan
Yasuyuki Hitoshi Japan
Paweł Daszkiewicz Poland
Peter Jun United States
Benjamin Storek Germany
Shunsuke Ichi Japan
Hung‐Lin Lin Taiwan
Krzysztof Zakrzewski Poland
Joanna Y. Wang United States
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Citations per field
00.5×1.5×
T. Schweitzer · 1×
Citations per year

Countries citing papers authored by Debbie K. Song

Since Specialization
Citations

This map shows the geographic impact of Debbie K. Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Debbie K. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debbie K. Song more than expected).

Fields of papers citing papers by Debbie K. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debbie K. Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Debbie K. Song. The network helps show where Debbie K. Song may publish in the future.

Co-authorship network of co-authors of Debbie K. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Debbie K. Song. A scholar is included among the top collaborators of Debbie K. Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debbie K. Song. Debbie K. Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2 1
3 36
4 11
5 10
6 27
7 1
8 8
9 34
10 27
11 19
12 23
13 5
14 43
15 50
16
Angiotropic large cell lymphoma with imaging characteristics of CNS vasculitis.
45

About Debbie K. Song

Debbie K. Song is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 345 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Genetics (96 citations), Neurology (103 citations) and Cellular and Molecular Neuroscience (71 citations). Debbie K. Song has collaborated with scholars based in United States, New Zealand and Pakistan. Frequent co-authors include Russell R. Lonser, Nicholas M. Boulis, Michael J. Imperiale, Eva L. Feldman, Cormac O. Maher, Paul E. McKeever, Douglas J. Quint, Nicole E. Willmarth, Edward H. Oldfield and John A. Butman. Their work appears in journals such as SHILAP Revista de lepidopterología, Spine and Journal of neurosurgery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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